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Alternatives to knowledge-rag

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    Related Servers

    • F
      license
      Not graded
      quality
      C
      maintenance
      A lightweight RAG (Retrieval-Augmented Generation) system for Claude Code that enables semantic search over local markdown documents via MCP tools, saving tokens and time.
      64
      -
    • A
      license
      A
      quality
      C
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      A fully local RAG MCP server for semantic code search and code intelligence, using AST-level chunking and hybrid search to pinpoint functions, classes, and APIs. No cloud, no API keys, zero setup.
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    • A
      license
      A
      quality
      C
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      Persistent memory for Claude Code. Automatically indexes every conversation and provides production-grade hybrid search (BM25 + vectors + reranker) via MCP tools. 100% local, zero config, zero API keys, zero invoice.
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    • A
      license
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      quality
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      Semantic vector DB as an MCP server for Claude Code — SQLite + FTS5 + local ONNX embeddings. Gives Claude persistent, searchable project knowledge across conversations.
      12
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    TDQS

    A4.9/5.0

    Scored across 13 tools

    Disambiguation5/5

    Each tool targets a distinct action/resource: browsing (list_documents, list_categories), retrieval (search_knowledge, search_similar, get_document), ingestion (add_document, add_from_url), mutation (update_document, remove_document), and maintenance (reindex_documents, get_reindex_status, get_index_stats, evaluate_retrieval). The descriptions explicitly cross-reference sibling tools to steer selection (e.g., search_similar vs search_knowledge, get_document vs search_knowledge). No two tools appear to do the same thing.

    Naming Consistency5/5

    All 13 tools follow a consistent snake_case verb_noun pattern (list_*, get_*, add_*, search_*, update_*, remove_*, reindex_*, evaluate_*). Naming aligns cleanly with the underlying operation and resource, with no mixed conventions or vague verbs.

    Tool Count5/5

    13 tools sits squarely in the ideal 3-15 range for a RAG knowledge-base server. The set covers browsing, searching, ingestion, lifecycle mutation, and operational maintenance without redundant or filler tools.

    Completeness5/5

    Full lifecycle is covered: create (add_document, add_from_url), read (list_documents, get_document, search_knowledge, search_similar, list_categories), update (update_document), delete (remove_document), plus reindex/maintenance (reindex_documents, get_reindex_status, get_index_stats) and quality auditing (evaluate_retrieval). No obvious dead ends for the stated domain.

    Maintenance

    ActivityActive
    ResponsivenessWithin a week